About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favorite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honor, and humility
Get to Know the Team
Grab is Southeast Asia’s leading super-app, offering services such as deliveries, mobility, financial services, enterprise services, and more to millions of users. Our AI Automation Team is focused on creating end-to-end automated ML/AI solutions to tackle challenging problems within Grab’s marketplace. These challenges include adaptive experiments, embeddings, recommendations, and large-scale marketplace optimizations. We are searching for lead machine learning engineers to help make our vision a reality by developing and refining advanced ML and experiment platforms.
Get to Know the Role
In this hands-on role, you will build large-scale machine learning, reinforcement learning, and optimization solutions. Your work will directly impact Grab’s marketplace, serving tens of thousands of consumers, drivers, and merchants. This role requires a solid background in machine learning, reinforcement learning, and optimization, experience in developing scalable ML solutions for complex problems, a good grasp of the software development life cycle, and familiarity with various regression, classification, and optimization problems.
The Critical Tasks You Will Perform
What Skills You Will Need
Life At Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
What we stand for at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique